ORCID Profile
0000-0002-6865-9384
Current Organisation
Griffith University
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Statistics | Applied Statistics | Statistical Theory | Applied Statistics | Pattern Recognition | Neural Networks, Genetic Alogrithms And Fuzzy Logic | Psychology | Artificial Intelligence and Image Processing | Social and Community Psychology
Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences | Cancer and related disorders | Management | Application packages | Clinical health not specific to particular organs, diseases and conditions | Women’s health | Public health not elsewhere classified | Nervous system and disorders | Expanding Knowledge in Psychology and Cognitive Sciences | Data, image and text equipment | Structure, Delivery and Financing of Community Services | Diagnostic methods |
Publisher: Public Library of Science (PLoS)
Date: 15-09-2016
Publisher: IEEE
Date: 11-2013
Publisher: Elsevier BV
Date: 10-2018
DOI: 10.1016/J.APPET.2018.07.008
Abstract: Consuming a healthy diet characterised by a variety of nutritious foods is essential for promoting and maintaining health and wellbeing, yet the diets of Australian children continue to fall well short of national healthy eating recommendations. This research endeavours to identify patterns of dietary intake in Australian children at three and five years of age and investigate associations between early childhood dietary patterns and socio-economic and demographic indicators and Body Mass Index (BMI), as well as identify changes in children's dietary patterns over time. Cross-sectional dietary patterns were derived for 1565 and 631 children aged three and five years, respectively using Latent Class Analysis (LCA), with changes over time analysed with Latent Transition Analysis (LTA). Demographic variables of interest included child sex, parental age, family status, and use of childcare services and socio-economic variables included education, income and employment status. Three patterns of dietary intake were identified at three years (Highly Unhealthy, Healthier and Moderately Unhealthy) and two patterns at five years (Unhealthy and Healthier). Children with younger mothers, working mothers, fathers with a higher BMI and living in a two-carer household were more likely to have unhealthy eating patterns at three years, and children with working mothers and living in a two-carer household were more likely to have unhealthy patterns of dietary intake at five years. Approximately one eighth of the s le transitioned from the healthier to unhealthy pattern of dietary intake from three to five years. The quality of Australian children's diets appears to be declining through the early childhood years, continuing to highlight the importance of nutrition policies and interventions targeted towards the early years of life.
Publisher: Springer Science and Business Media LLC
Date: 08-2012
Abstract: Aldehyde dehydrogenases belong to a superfamily of detoxifying enzymes that protect cells from carcinogenic aldehydes. Of the superfamily, ALDH1A1 has gained most attention because current studies have shown that its expression is associated with human cancer stem cells. However, ALDH1A1 is only one of the 19 human ALDH subfamilies currently known. The purpose of the present study was to determine if the expression and activities of other major ALDH isozymes are associated with human ovarian cancer and ovarian cancer sphere cultures. Immunohistochemistry was used to delineate ALDH isozyme localization in clinical ovarian tissues. Western Blot analyses were performed on lysates prepared from cancer cell lines and ovarian cancer spheres to confirm the immunohistochemistry findings. Quantitative reverse transcription-polymerase chain reactions were used to measure the mRNA expression levels. The Aldefluor® assay was used to measure ALDH activity in cancer cells from the four tumor subtypes. Immunohistochemical staining showed significant overexpression of ALDH1A3, ALDH3A2, and ALDH7A1 isozymes in ovarian tumors relative to normal ovarian tissues. The expression and activity of ALDH1A1 is tumor type-dependent, as seen from immunohistochemisty, Western blot analysis, and the Aldefluor® assay. The expression was elevated in the mucinous and endometrioid ovarian epithelial tumors than in serous and clear cell tumors. In some serous and most clear cell tumors, ALDH1A1 expression was found in the stromal fibroblasts. RNA expression of all studied ALDH isozymes also showed higher expression in endometrioid and mucinous tumors than in the serous and clear cell subtypes. The expression of ALDH enzymes showed tumor type-dependent induction in ovarian cancer cells growing as sphere suspensions in serum-free medium. The results of our study indicate that ALDH enzyme expression and activity may be associated with specific cell types in ovarian tumor tissues and vary according to cell states. Elucidating the function of the ALDH isozymes in lineage differentiation and pathogenesis may have significant implications for ovarian cancer pathophysiology.
Publisher: Impact Journals, LLC
Date: 13-12-2016
Publisher: Wiley
Date: 23-03-2007
Publisher: Springer Science and Business Media LLC
Date: 2003
Publisher: EMBO
Date: 18-06-2012
Publisher: Informa UK Limited
Date: 09-1998
Publisher: Springer Science and Business Media LLC
Date: 12-2014
Publisher: Wiley
Date: 07-01-2020
DOI: 10.1111/BIOM.13202
Abstract: In the study of multiple failure time data with recurrent clinical endpoints, the classical independent censoring assumption in survival analysis can be violated when the evolution of the recurrent events is correlated with a censoring mechanism such as death. Moreover, in some situations, a cure fraction appears in the data because a tangible proportion of the study population benefits from treatment and becomes recurrence free and insusceptible to death related to the disease. A bivariate joint frailty mixture cure model is proposed to allow for dependent censoring and cure fraction in recurrent event data. The latency part of the model consists of two intensity functions for the hazard rates of recurrent events and death, wherein a bivariate frailty is introduced by means of the generalized linear mixed model methodology to adjust for dependent censoring. The model allows covariates and frailties in both the incidence and the latency parts, and it further accounts for the possibility of cure after each recurrence. It includes the joint frailty model and other related models as special cases. An expectation-maximization (EM)-type algorithm is developed to provide residual maximum likelihood estimation of model parameters. Through simulation studies, the performance of the model is investigated under different magnitudes of dependent censoring and cure rate. The model is applied to data sets from two colorectal cancer studies to illustrate its practical value.
Publisher: Springer Science and Business Media LLC
Date: 13-11-2017
DOI: 10.1007/S00384-017-2927-0
Abstract: This study aims to study the impact of clinical factors on the lymph node s ling in a large cohort of patients with colorectal cancer. A colorectal cancer database of 2298 patients in Queensland, Australia, was established. Zero-inflated regression method was used to model positive lymph node counts given the number of lymph nodes examined, with patient's demographic and clinical factors as covariates in the model. Sensitivity and survival analyses were performed to illustrate the applicability of the recommendation of the minimum number of lymph nodes need to be pathologically examined. Younger patients with a larger sized tumour located at the left colon or rectum require fewer lymph nodes to be pathologically examined. Overall, 45.9% of the patients require eight or nine lymph nodes and 31.5% needs ten or 11 lymph nodes to be harvested for pathological examination. A simple formula could be used to obtain the minimum number of lymph node s ling required in patients with colorectal cancer based on patients' age as well as site and dimension of the cancer. The findings provide practical information about that the minimum number of lymph nodes that could be harvested at the time of collection of lymph nodes for pathological examination for patients with colorectal cancer. The minimum number of lymph nodes harvested depends on demographic (age) and clinical (location and dimension of cancer) characteristics of the patients with colorectal cancer.
Publisher: Elsevier BV
Date: 08-2004
Publisher: Informa UK Limited
Date: 02-1999
Publisher: BMJ
Date: 22-06-2011
Abstract: To compare the effectiveness and cost-effectiveness of eccentric loading exercises (ELE) with prolotherapy injections used singly and in combination for painful Achilles tendinosis. A single-blinded randomised clinical trial. The primary outcome measure was the VISA-A questionnaire with a minimum clinically important change (MCIC) of 20 points. Five Australian primary care centres. 43 patients with painful mid-portion Achilles tendinosis commenced and 40 completed treatment protocols. Participants were randomised to a 12-week program of ELE (n=15), or prolotherapy injections of hypertonic glucose with lignocaine alongside the affected tendon (n=14) or combined treatment (n=14). VISA-A, pain, stiffness and limitation of activity scores treatment costs. At 12 months, proportions achieving the MCIC for VISA-A were 73% for ELE, 79% for prolotherapy and 86% for combined treatment. Mean (95% CI) increases in VISA-A scores at 12 months were 23.7 (15.6 to 31.9) for ELE, 27.5 (12.8 to 42.2) for prolotherapy and 41.1 (29.3 to 52.9) for combined treatment. At 6 weeks and 12 months, these increases were significantly less for ELE than for combined treatment. Compared with ELE, reductions in stiffness and limitation of activity occurred earlier with prolotherapy and reductions in pain, stiffness and limitation of activity occurred earlier with combined treatment. Combined treatment had the lowest incremental cost per additional responder ($A1539) compared with ELE. For Achilles tendinosis, prolotherapy and particularly ELE combined with prolotherapy give more rapid improvements in symptoms than ELE alone but long-term VISA-A scores are similar. ACTRN: 12606000179538.
Publisher: Elsevier BV
Date: 03-2006
DOI: 10.1016/J.ARTMED.2005.07.003
Abstract: Inpatient length of stay (LOS) is an important measure of hospital activity, health care resource consumption, and patient acuity. This research work aims at developing an incremental expectation maximization (EM) based learning approach on mixture of experts (ME) system for on-line prediction of LOS. The use of a batch-mode learning process in most existing artificial neural networks to predict LOS is unrealistic, as the data become available over time and their pattern change dynamically. In contrast, an on-line process is capable of providing an output whenever a new datum becomes available. This on-the-spot information is therefore more useful and practical for making decisions, especially when one deals with a tremendous amount of data. The proposed approach is illustrated using a real ex le of gastroenteritis LOS data. The data set was extracted from a retrospective cohort study on all infants born in 1995-1997 and their subsequent admissions for gastroenteritis. The total number of admissions in this data set was n = 692. Linked hospitalization records of the cohort were retrieved retrospectively to derive the outcome measure, patient demographics, and associated co-morbidities information. A comparative study of the incremental learning and the batch-mode learning algorithms is considered. The performances of the learning algorithms are compared based on the mean absolute difference (MAD) between the predictions and the actual LOS, and the proportion of predictions with MAD < or = 1 day (Prop(MAD < or = 1)). The significance of the comparison is assessed through a regression analysis. The incremental learning algorithm provides better on-line prediction of LOS when the system has gained sufficient training from more ex les (MAD = 1.77 days and Prop(MAD < or = 1) = 54.3%), compared to that using the batch-mode learning. The regression analysis indicates a significant decrease of MAD (p-value = 0.063) and a significant (p-value = 0.044) increase of Prop(MAD < or = 1) with the incremental learning algorithm. The incremental learning feature and the self-adaptive model-selection ability of the ME network enhance its effective adaptation to non-stationary LOS data. It is demonstrated that the incremental learning algorithm outperforms the batch-mode algorithm in the on-line prediction of LOS.
Publisher: Elsevier BV
Date: 11-2019
DOI: 10.1016/J.JCLINEPI.2019.07.013
Abstract: We propose a data-matching approach to estimate intervention efficacy for randomized controlled trials (RCTs) when there is noncompliance to the allocated treatment with induced selection bias. We considered a large RCT to compare health care costs and hospital length of stay 12 months after randomization. Participants allocated to the intervention group were eligible to receive health-coaching and disease-management services. An opt-out approach was adopted for recruitment. Control-group participants received usual care but were allowed to opt-in to receive the intervention. Using "nearest-neighbor"-matched data, we identified compliant participants in both arms to estimate intervention efficacy. Results were compared with intention-to-treat (ITT), instrumental-variable-adjusted ITT, per-protocol (PP), and as-treated (AT) analyses. The ITT estimated an intervention effect of a 1.5% reduction in cost, but 56.7% of intervention-group participants did not receive health coaching. The PP and AT found an increase in cost of 9.4% and 17.1%, respectively. The matching method estimated a 12.3% reduction in cost. After adjustment for baseline covariates, the intervention group had lower same-day admission cost (13.6% 95% CI: 7.3%-20.0% P < 0.001) and shorter hospital stay (11.2% 95% CI: 2.6%-19.9% P = 0.021). Opt-in/opt-out strategies in RCTs misled intervention comparisons and the matching approach improved estimation of intervention efficacy.
Publisher: Springer Science and Business Media LLC
Date: 30-06-2015
DOI: 10.1007/S10995-015-1771-5
Abstract: To describe the relationship between maternal education and child health outcomes at 12 months of age in a cohort of children in urban Australia, and to determine whether this relationship could be explained by the intermediate factors of maternal health behaviour and the social environmental context. Data were derived from The Environments for Health Living Griffith Birth Cohort Study. Women attending their third trimester antenatal appointment at one of three public hospitals were recruited between 2006 and 2010 and invited to complete a 48-item, baseline self-administered questionnaire. Twelve months following the birth of their baby, a follow-up questionnaire consisting of 63 items was distributed. Women for whom complete follow-up data were not available were different from women who did complete follow-up data. The children of women with follow-up data-whom at the time of their pregnancy had not completed school or whose highest level of education was secondary school or a trade-had respectively a 59 and 57 % increased chance of having had a respiratory/infectious disease or injury in the first year of life (according to parent proxy-reports), compared to children of women with a tertiary education. When maternal behavioural and social environmental factors during pregnancy were included in the model (n=1914), the effect of secondary education was still evident but with a reduced odds ratio of 1.35 (95 % CI 1.07-1.72) and 1.19 (95 % CI 0.87-1.64), respectively. The effect of not having completed school was no longer significant. Results indicate that the relationship between maternal education and child outcomes may be mediated by maternal social environmental and behavioural factors. Results are likely an underestimation of the effect size, given the under representation in our cohort of participants with maternal characteristics associated with elevated risk of infant morbidity.
Publisher: Wiley
Date: 11-01-2019
DOI: 10.1002/IJGO.12748
Abstract: To assess the occurrence of intimate partner violence (IPV) among women seeking surgery for pelvic floor dysfunction (PFD) in a rural African community. A prospective questionnaire-based study was conducted among women with obstetric fistula, unrepaired obstetric anal sphincter injuries (OASIS), or severe (stage 3 or 4) pelvic organ prolapse (POP) who attended surgical c s at Kagando Hospital in western Uganda between July 15, 2016, and September 14, 2017. The control group comprised women without PFD. Participants completed the Hurt, Insult, Threaten, and Scream (HITS) tool and the Woman Abuse Screening Tool (WAST) to screen for IPV. 117 of the 312 women interviewed reported current IPV: 73/214 (34.1%) in the PFD group and 44/98 (44.9%) in the control group. The PFD group comprised unrepaired OASIS (n=85, 39.7%), obstetric fistula (n=75, 35.1%), and severe POP (n=54, 25.2%). All groups experienced high levels of IPV. The frequency of positive screening results for IPV with WAST (score ≥13.0) and/or HITS (score ≥10.5) were: severe POP (n=17, 31.5%), obstetric fistula (n=28, 37.3%), unrepaired OASIS (n=30, 35.3%), and control group (n=44, 44.9%). Women in western Uganda experienced high rates of IPV, regardless of whether or not they had PFD. ANZCTR number: ACTRN12617001073392.
Publisher: MDPI AG
Date: 24-11-2020
Abstract: International governments’ COVID-19 responses must balance human and economic health. Beyond slowing viral transmission, strict lockdowns have severe economic consequences. This work investigated response stringency, quantified by the Oxford COVID-19 Government Response Tracker’s Stringency Index, and examined how restrictive interventions affected infection rates and gross domestic product (GDP) in China and OECD countries. Accounting for response timing, China imposed the most stringent restrictions, while Sweden and Japan were the least stringent. Expected GDP declines range from −8% (Japan) to −15.4% (UK). While greater restrictions generally slowed viral transmission, they failed to reach statistical significance and reduced GDP (p = 0.006). Timing was fundamental: governments who responded to the pandemic faster saw greater reductions in viral transmission (p = 0.013), but worse decreases in GDP (p = 0.044). Thus, response stringency has a greater effect on GDP than infection rates, which are instead affected by the timing of COVID-19 interventions. Attempts to mitigate economic impacts by delaying restrictions or decreasing stringency may buoy GDP in the short term but increase infection rates, the longer-term economic consequences of which are not yet fully understood. As highly restrictive interventions were successful in some but not all countries, decision-makers must consider whether their strategies are appropriate for the country on health and economic grounds.
Publisher: Springer Science and Business Media LLC
Date: 18-11-2020
DOI: 10.1038/S41598-020-77068-0
Abstract: MicroRNA-200 (miR-200) family is highly expressed in ovarian cancer. We evaluated the levels of family members relative to the internal control miR-103a in ovarian cancer and control blood specimens collected from American and Hong Kong Chinese institutions, as well as from a laying hen spontaneous ovarian cancer model. The levels of miR-200a, miR-200b and miR-200c were significantly elevated in all human cancer versus all control blood s les. Further analyses showed significantly higher miR-200 levels in Chinese control (except miR-429) and cancer (except miR-200a and miR141) s les than their respective American counterparts. Subtype-specific analysis showed that miR-200b had an overall elevated level in serous cancer compared with controls, whereas miR-429 was significantly elevated in clear cell and endometrioid cancer versus controls. MiR-429 was also significantly elevated in cancer versus control in laying hen plasma s les, consistent with the fact that endometrioid tumor is the prevalent type in this species. A neural network model consisting of miR-200a/200b/429/141 showed an area under the curve (AUC) value of 0.904 for American ovarian cancer prediction, whereas a model consisting of miR-200b/200c/429/141 showed an AUC value of 0.901 for Chinese women. Hence, miR-200 is informative as blood biomarkers for both human and laying hen ovarian cancer.
Publisher: Elsevier BV
Date: 2017
DOI: 10.1016/J.IJID.2016.09.025
Abstract: A cross-sectional survey was performed in 2012 among 18 rural barangays in Northern Samar, the Philippines in order to determine the prevalence of single and multiple species helminth infections and the underlying risk factors of acquiring one or more parasites. A total of 6976 participants who completed a medical questionnaire and provided a stool s le for examination were included in the final analysis. The overall prevalence rates of Schistosoma japonicum, Ascaris lumbricoides, Trichuris trichiura, and hookworm were found to be moderate to high at 28.9%, 36.5%, 61.8%, and 28.4%, respectively. However, the prevalence of harbouring any of the helminths was found to be higher at 75.6%. Significant variation was evident among the predicted barangay-specific random effects for infection with S. japonicum (barangay variance of 0.66, 95% confidence interval 0.31-1.40) and for any helminth infection (barangay variance of 0.63, 95% confidence interval 0.30-1.29). The predictive models showed, with greater than 80% sensitivity and specificity, that low socio-economic status, low levels of education, poor sanitation, proximity to water sources, occupation (i.e., farming and fishing), and male sex were all reliable indicators of infection status. This study will aid in the targeting of limited resources for national treatment and WASH (water, sanitation, and hygiene) efforts in low- and middle-income countries.
Publisher: Informa Healthcare
Date: 18-08-2011
DOI: 10.1185/03007995.2011.608655
Abstract: The short-term efficacy of biological disease modifying anti-rheumatic drugs (bDMARDs) for the treatment of established moderate to severe rheumatoid arthritis (RA) has been demonstrated by various randomized placebo or active treatment controlled trials. However, there is a lack of direct comparison of these agents. To compare the short-term efficacy of nine bDMARDs - abatacept, adalimumab, anakinra, certolizumab, etanercept, golimumab, infliximab, rituximab and tocilizumab - in patients with established RA. A systematic review was conducted to obtain all available efficacy data for each included bDMARD. Medline, EMBASE, and Cochrane clinical trials were searched for trials in patients with RA. Twenty-seven trials were retrieved from a systematic literature search and included in the meta-analysis. Mixed treatment comparison (MTC) techniques were used to perform indirect comparisons. Analyses were conducted to estimate the odds ratio of an ACR20, ACR50, and ACR70 response at approximately six months if treated with a bDMARD compared with placebo or methotrexate. Between-drug comparisons were also made. The analyses were performed including recommended doses only (as per the product information). All drugs except anakinra and golimumab demonstrated a statistically significant advantage compared to control treatment for ACR20 responses. The between-drug comparisons revealed a statistically significant advantage for certolizumab compared to most bDMARDs for ACR20, ACR50 and ACR70 response and for etanercept versus adalimumab and anakinra for ACR20 and ACR50 response, as well as a statistically significant advantage for tocilizumab versus anakinra for ACR50 response. The analyses, using MTC of efficacy of nine bDMARDs suggest that treatment with anakinra is inferior to other bDMARDs and that etanercept and certolizumab may be more effective than other bDMARDs. There are some limitations of our analyses due to MTC assumptions, variations in trial design and the fact that only ACR outcomes at six months were included.
Publisher: Springer Science and Business Media LLC
Date: 04-12-2007
Publisher: Wiley
Date: 28-02-2006
DOI: 10.1002/IJC.21671
Abstract: Selenium binding protein 1 (SELENBP1) was identified to be the most significantly down-regulated protein in ovarian cancer cells by a membrane proteome profiling analysis. SELENBP1 expression levels in 4 normal ovaries, 8 benign ovarian tumors, 12 borderline ovarian tumors and 141 invasive ovarian cancers were analyzed with immunohistochemical assay. SELENBP1 expression was reduced in 87% cases of invasive ovarian cancer (122/141) and was significantly reduced in borderline tumors and invasive cancers (p<0.001). Cox multivariate analysis within the 141 invasive cancer tissues showed that SELENBP1 expression score was a potential prognostic indicator for unfavorable prognosis of ovarian cancer (hazard ratio [HR], 2.18 95% CI=1.22-3.90 p=0.009). Selenium can disrupt the androgen pathway, which has been implicated in modulating SELENBP1 expression. We investigated the effects of selenium and androgen on normal human ovarian surface epithelial (HOSE) cells and cancer cells. Interestingly, SELENBP1 mRNA and protein levels were reduced by androgen and elevated by selenium treatment in the normal HOSE cells, whereas reversed responses were observed in the ovarian cancer cell lines. These results suggest that changes of SELENBP1 expression in malignant ovarian cancer are an indicator of aberration of selenium/androgen pathways and may reveal prognostic information of ovarian cancer.
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Humana Press
Date: 2008
DOI: 10.1007/978-1-60327-429-6_22
Abstract: Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with similar behavior across relevant tissue s les (or cell lines). These techniques can also be applied to tissues rather than genes. Methods such as hierarchical agglomerative clustering, k-means clustering, the self-organizing map, and model-based methods have been used. This chapter focuses on mixtures of normals to provide a model-based clustering of tissue s les (gene signatures) and gene profiles.
Publisher: Kowsar Medical Institute
Date: 30-06-2017
DOI: 10.5812/ACR.12663
Publisher: Springer Science and Business Media LLC
Date: 03-09-2013
DOI: 10.1038/ONC.2012.380
Abstract: Ovarian cancer survival rates have stagnated in the last 20 years despite the development of novel chemotherapeutic agents. Modulators of gene expression, such as histone deacetylase (HDAC) inhibitors, are among the new agents being used in clinical trials. Predictors of sensitivity to chemotherapy have remained elusive. In this study, we show that the expression of the transcriptional corepressor C-terminal binding protein-2 (CtBP2) is elevated in human ovarian tumors. Downregulation of CtBP2 expression in ovarian cancer cell lines using short-hairpin RNA strategy suppressed the growth rate and migration of the resultant cancer cells. The knockdown cell lines also showed upregulation of HDAC activity and increased sensitivity to selected HDAC inhibitors. Conversely, forced expression of wild-type CtBP2 in the knockdown cell lines reversed HDAC activity and partially rescued cellular sensitivity to the HDAC inhibitors. We propose that CtBP2 is an ovarian cancer oncogene that regulates gene expression program by modulating HDAC activity. CtBP2 expression may be a surrogate indicator of cellular sensitivity to HDAC inhibitors.
Publisher: Wiley
Date: 05-11-2013
DOI: 10.1002/PON.3210
Abstract: Heightened psychological distress after cancer is common but likely highly heterogeneous. This raises potential challenges in how and when to target services however, data describing longitudinal patterns of distress are limited. This study describes the long term psychological outcomes for colorectal cancer (CRC) survivors and trajectories of adjustment over time. A prospective survey of a population-based s le of 1966 CRC survivors assessed sociodemographic variables, perceived social support and psychological distress, including distress subtypes of anxiety, depression and somatization, at six time points from 5 months to 5 years post-diagnosis. Over the 5-year trajectory, the prevalence of high overall distress ranged between 44% and 32% but was greater for men compared with women (p < 0.001). Four distress trajectory styles within clusters were identified for overall distress and for each distress subtype with a constant low distress group providing the basis for comparison. Higher distress trajectories varied for overall distress and distress subtypes but were generally differentiated by gender, younger age, lower education, poor socioeconomic advantage, late disease stage and poor social support. For global distress, by comparison with women, men with CRC are vulnerable to distress, with men who are younger and with low education and poor social support being a priority for targeted intervention. While distress screening early in the cancer experience will identify those with a constant high distress trajectory, others with late emerging distress or caseness may be missed. On this basis, distress screening through the illness trajectory into long term survivorship seems warranted.
Publisher: IEEE
Date: 12-2013
Publisher: MDPI AG
Date: 21-09-2017
Publisher: Springer New York
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 29-04-2020
Publisher: Springer Science and Business Media LLC
Date: 21-03-2008
DOI: 10.1007/S11749-008-0106-X
Abstract: To analyze the role of different procedures in the management of pancreatic stump according to the incidence of postoperative morbidity derived from the data of a single center surgical population. From 1989 to 2005 we performed 76 pancreaticoduodenectomies (PD) and 26 distal pancreatectomies (DP). The surgical reconstruction after PD was as follows: 11 manual non-absorbable stitches closure of the main duct, 24 closures of the main duct with linear stapler, 17 occlusions of the main duct with neoprene glue and 24 duct-to-mucosa anastomosis. In the PD group, the morbidity rate was 60%, caused by: pancreatic leakage in 48% of patients, hemorrhagic complications in 10% following surgical procedure and infectious complications in 15%. After DP we recorded: leakage in 3.9%, haemoperitoneum in 15.4% and no complications in 80.7%. The multivariate analysis showed that the in-hospital mortality was linked to the surgical procedure (PD, p=0.003) and to the following complications: pancreatic leakage (p=0.004), haemoperitoneum (p=0.00045) and infectious complications (p=0.0077). Bleeding complications, biliary anastomosis leakage and infectious complications were consequences of pancreatic leakage (p=0.025, p=0.025 and p=0.025 respectively). Manual non-absorbable stitch closure of the main duct and occlusion of the main duct with neoprene glue should be avoided in the reconstructive phase.
Publisher: Wiley
Date: 03-10-2013
DOI: 10.1002/WICS.1277
Publisher: Oxford University Press (OUP)
Date: 23-06-2014
DOI: 10.1093/BIOSTATISTICS/KXU028
Abstract: The detection of differentially expressed (DE) genes, that is, genes whose expression levels vary between two or more classes representing different experimental conditions (say, diseases), is one of the most commonly studied problems in bioinformatics. For ex le, the identification of DE genes between distinct disease phenotypes is an important first step in understanding and developing treatment drugs for the disease. We present a novel approach to the problem of detecting DE genes that is based on a test statistic formed as a weighted (normalized) cluster-specific contrast in the mixed effects of the mixture model used in the first instance to cluster the gene profiles into a manageable number of clusters. The key factor in the formation of our test statistic is the use of gene-specific mixed effects in the cluster-specific contrast. It thus means that the (soft) assignment of a given gene to a cluster is not crucial. This is because in addition to class differences between the (estimated) fixed effects terms for a cluster, gene-specific class differences also contribute to the cluster-specific contributions to the final form of the test statistic. The proposed test statistic can be used where the primary aim is to rank the genes in order of evidence against the null hypothesis of no DE. We also show how a P-value can be calculated for each gene for use in multiple hypothesis testing where the intent is to control the false discovery rate (FDR) at some desired level. With the use of publicly available and simulated datasets, we show that the proposed contrast-based approach outperforms other methods commonly used for the detection of DE genes both in a ranking context with lower proportion of false discoveries and in a multiple hypothesis testing context with higher power for a specified level of the FDR.
Publisher: Springer Science and Business Media LLC
Date: 25-07-2014
DOI: 10.1038/IJO.2014.148
Abstract: To examine the association of maternal pregravid body mass index (BMI) and child offspring, all-cause hospitalisations in the first 5 years of life. Prospective birth cohort study. From 2006 to 2011, 2779 pregnant women (2807 children) were enrolled in the Environments for Healthy Living: Griffith birth cohort study in South-East Queensland, Australia. Hospital delivery record and self-report baseline survey of maternal, household and demographic factors during pregnancy were linked to the Queensland Hospital Admitted Patients Data Collection from 1 November 2006 to 30 June 2012, for child admissions. Maternal pregravid BMI was classified as underweight (<18.5 kg m(-)(2)), normal weight (18.5-24.9 kg m(-)(2)), overweight (25.0-29.9 kg m(-)(2)) or obese (⩾30 kg m(-)(2)). Main outcomes were the total number of child hospital admissions and ICD-10-AM diagnostic groupings in the first 5 years of life. Negative binomial regression models were calculated, adjusting for follow-up duration, demographic and health factors. The cohort comprised 8397.9 person years (PYs) follow-up. Children of mothers who were classified as obese had an increased risk of all-cause hospital admissions in the first 5 years of life than the children of mothers with a normal BMI (adjusted rate ratio (RR) =1.48, 95% confidence interval 1.10-1.98). Conditions of the nervous system, infections, metabolic conditions, perinatal conditions, injuries and respiratory conditions were excessive, in both absolute and relative terms, for children of obese mothers, with RRs ranging from 1.3-4.0 (PYs adjusted). Children of mothers who were underweight were 1.8 times more likely to sustain an injury or poisoning than children of normal-weight mothers (PYs adjusted). RESULTS suggest that if the intergenerational impact of maternal obesity (and similarly issues related to underweight) could be addressed, a significant reduction in child health care use, costs and public health burden would be likely.
Publisher: Human Resources Management Academic Research Society (HRMARS)
Date: 30-07-2019
Publisher: Springer Science and Business Media LLC
Date: 25-03-2020
Publisher: Elsevier BV
Date: 03-2003
Publisher: Springer Science and Business Media LLC
Date: 03-2005
Publisher: Oxford University Press (OUP)
Date: 03-05-2006
DOI: 10.1093/BIOINFORMATICS/BTL165
Abstract: Motivation: The clustering of gene profiles across some experimental conditions of interest contributes significantly to the elucidation of unknown gene function, the validation of gene discoveries and the interpretation of biological processes. However, this clustering problem is not straightforward as the profiles of the genes are not all independently distributed and the expression levels may have been obtained from an experimental design involving replicated arrays. Ignoring the dependence between the gene profiles and the structure of the replicated data can result in important sources of variability in the experiments being overlooked in the analysis, with the consequent possibility of misleading inferences being made. We propose a random-effects model that provides a unified approach to the clustering of genes with correlated expression levels measured in a wide variety of experimental situations. Our model is an extension of the normal mixture model to account for the correlations between the gene profiles and to enable covariate information to be incorporated into the clustering process. Hence the model is applicable to longitudinal studies with or without replication, for ex le, time-course experiments by using time as a covariate, and to cross-sectional experiments by using categorical covariates to represent the different experimental classes. Results: We show that our random-effects model can be fitted by maximum likelihood via the EM algorithm for which the E(expectation)and M(maximization) steps can be implemented in closed form. Hence our model can be fitted deterministically without the need for time-consuming Monte Carlo approximations. The effectiveness of our model-based procedure for the clustering of correlated gene profiles is demonstrated on three real datasets, representing typical microarray experimental designs, covering time-course, repeated-measurement and cross-sectional data. In these ex les, relevant clusters of the genes are obtained, which are supported by existing gene-function annotation. A synthetic dataset is considered too. Availability: A Fortran program blue called EMMIX-WIRE (EM-based MIXture analysis WIth Random Effects) is available on request from the corresponding author. Contact: gjm@maths.uq.edu.au Supplementary information: . Colour versions of Figures 1 and 2 are available as Supplementary material on Bioinformatics online.
Publisher: Public Library of Science (PLoS)
Date: 07-2014
Publisher: Springer Science and Business Media LLC
Date: 10-09-2013
Publisher: Springer International Publishing
Date: 2017
Publisher: Impact Journals, LLC
Date: 09-2016
Publisher: Springer Science and Business Media LLC
Date: 12-07-2018
DOI: 10.1007/S40258-017-0338-6
Abstract: The appropriate structure, scope and cost of government incentives in the private health insurance (PHI) market is a matter of ongoing debate. In order to inform policy decisions we designed a two-stage study to (1) model the uptake of PHI covering hospital treatment in Australia, and (2) identify the costs of various policy scenarios to the government. Using a microsimulation with a cost-benefit component, we modelled the insurance decisions made by in iduals who collectively represented the Australian insurance population in the financial year 2014-15. We found that the mean willingness to pay (WTP) for PHI ranged from A$446 to A$1237 per year depending on age and income. Our policy scenarios showed a considerable range of impacts on the government budget (from A$4 billion savings to A$6 billion expense) and PHI uptake (from 3.4 million fewer to 2.5 million more in iduals insured), with cost-effectiveness ranging from -A$305 to A$22,624 per additional person insured, relative to the status quo. Based on the scenario results we recommend policy adjustments that either increase the PHI uptake at a small per-person cost to the public budget or substantially reduce government subsidisation of PHI at a relatively small loss in terms of persons insured.
Publisher: Mary Ann Liebert Inc
Date: 03-2019
Abstract: The prevalence of metabolic syndrome (MetS) and its components have been increasing globally therefore, there is a need for better understanding of MetS components and their risk factors, as well as their development and changes over time. This study was designed to identify the determinants of the changes in the components of MetS in a cohort of Iranian adults from 2001 to 2013. A total of 6504 adults, ≥35 years of age, were recruited from central Iran in 2001and were followed up in an ongoing longitudinal population-based study for 12 years. Of the total, 3356 subjects were followed between 2001 and 2007 and 1385 subjects were followed between 2001 and 2013. MetS components and its risk factors were measured by standard methods in 2001, 2007, and 2013. Mean changes in the MetS components from 2001 to 2013 were assessed using the Generalized Estimating Equations test with three time points. Multivariate linear regression model was applied to examine the association between socioeconomic and behavioral characteristics and changes in MetS components. Furthermore, multivariate logistic regression analysis was carried out to examine various factors associated with the development of abnormality of MetS components. Examining the biochemical and anthropometric characteristics of in iduals from 2001 to 2013 revealed a significant increase in systolic and diastolic blood pressure, fasting blood sugar, waist circumference, and body mass index, and a significant decrease in total cholesterol, triglyceride, and physical activity levels. Results also indicated that age, gender, marital status, education levels, and area of residence were significantly associated with the changes in MetS components. This study concluded that baseline sociodemographic characteristics are important in determining changes of MetS components.
Publisher: Springer Science and Business Media LLC
Date: 08-2020
DOI: 10.1186/S12882-020-01983-7
Abstract: Renal biopsy is often required to obtain information for diagnosis, management and prognosis of kidney disease that can be broadly classified into acute kidney injury (AKI) and chronic kidney disease (CKD). The most common conditions identified on renal biopsy are glomerulonephritis and tubulo-interstitial disorders. There is a paucity of information on management strategies and therapeutic outcomes in AKI and CKD patients. A renal biopsy registry will provide information on biopsy-proven kidney disorders to improve disease understanding and tracking, healthcare planning, patient care and outcomes. A registry of patients, that includes biopsy-proven kidney disease, was established through the collaboration of nephrologists from Queensland Hospital and Health Services and pathologists from Pathology Queensland services. The registry is in keeping with directions of the Advancing Kidney Care 2026 Collaborative, established in September 2018 as a Queensland Health initiative. Phase 1 of the registry entailed retrospective acquisition of data from all adult native kidney biopsies performed in Queensland, Australia, from 2002 to 2018. Data were also linked with the existing CKD.QLD patient registry. From 2019 onwards, phase 2 of the registry involves prospective collection of all incident consenting patients referred to Queensland public hospitals and having a renal biopsy. Annual reports on patient outcomes will be generated and disseminated. Establishment of the Queensland Renal Biopsy Registry (QRBR) aims to provide a profile of patients with biopsy-proven kidney disease that will lead to better understanding of clinico-pathological association and facilitate future research. It is expected to improve patient care and outcomes.
Publisher: Mary Ann Liebert Inc
Date: 04-2017
Abstract: Metabolic syndrome (MetS) and its components increase the risk of developing cardiovascular diseases, type 2 diabetes, and all-cause mortality. Reports on the trends of MetS and its components in longitudinal studies are scarce, especially in low- and middle-income countries. This study was designed to investigate the prevalence and trends of MetS and its components in a cohort of Iranian adults from 2001 to 2013. Participants were followed up for 12 years in a longitudinal population-based study of 6500 adults aged 35 years and older in 2001. Participants were randomly selected from three provinces in central Iran. Sociodemographic characteristics, anthropometry, blood pressure, and various biochemical indices were collected in 2001, 2007, and 2013. Secular trend and age-adjusted trend of MetS and its components were calculated from 2001 to 2013. The standardized prevalence of MetS, hypertension, low high-density lipoprotein cholesterol (HDL-C), abdominal obesity, and diabetes/impaired glucose tolerance (IGT) increased over the 12 years (6.9%, 5.5%, 12.0%, 2.3%, and 18.7%, respectively), while the prevalence of hypertriglyceridemia decreased by 15.5% during this period. The prevalence of MetS, low HDL-C, and abdominal obesity were higher in females than males in all three phases. Moreover, the increases in the prevalence of these metabolic abnormalities were higher in the rural population than in the urban population. The present study underscored the increasing trends in MetS and most of its risk factors, thus, to prevent an increase in the cardiovascular risk factors, there is a need to improve lifestyle by education, screening, and treatment of abnormalities.
Publisher: Wiley
Date: 14-08-2019
DOI: 10.1002/PON.5189
Abstract: Qualitative studies have elucidated cancer survivors' experiences of cognitive changes associated with cancer and cancer treatment. This study specifically explored experiences of women treated for breast cancer who were seeking cognitive rehabilitation. The objective was to characterise the frequency and nature of cognitive changes and adaptations to cognitive change reported by these participants to better understand treatment needs of this group. Australian women who had completed primary treatments for breast cancer (surgery, chemotherapy, and/or radiotherapy) and volunteered to participate in one of two cognitive rehabilitation intervention studies were interviewed via telephone. Interview responses regarding cognitive changes and adaptations to cognitive change were transcribed by the interviewers, then coded and analysed by two researchers using content analysis. Among the 95 participants (age M=54.3 years, SD=9.6), the most commonly reported cognitive change was memory (79% of participants) and 61% reported more than one type of cognitive change. Adaptations to change were reported by 87% of participants, with written or electronic cues the most common (51%). Most often, participants reported using a single type of adaptation (48%) with only 39% reporting multiple types of adaptations. Women treated for breast cancer, who were seeking cognitive rehabilitation, most commonly reported memory changes, which were mainly managed through a single type of adaptation. These results suggest that there is considerable scope for increasing the range of cognitive adaptations to improve the quality of life of cancer survivors who experience adverse cognitive changes.
Publisher: Wiley
Date: 11-1999
DOI: 10.1002/(SICI)1099-095X(199911/12)10:6<753::AID-ENV388>3.0.CO;2-K
Publisher: Research Square Platform LLC
Date: 20-01-2020
Abstract: Background: Multimorbidity has been identified as a serious challenge on global health system, closely associated with lower quality of life, poorer health outcomes, and higher utilisation of health services. However, there are major gaps in our knowledge around multimorbidity, especially its effect on primary care services and the burden of comorbid mental health conditions on multimorbidity patterns. This study sought to determine patterns of multimorbidity and quantify their impact on use of primary health services in the presence and absence of anxiety and depression among a cohort of urban community-dwelling men. Methods: This was a prospective cohort study with Australian population. The study population consisted of 2,039 men aged ≥40, who were enrolled either in the Florey Adelaide Male Ageing Study (FAMAS) Stage 2 between 2007-2010 or in the North-West Adelaide Health Study (NWAHS) Stage 3 between 2008-2010. Data have been collected on the prevalence of 8 chronic conditions and linked Medicare data about in idual health service utilization information on annual GP visits. Multinomial logistic regression was adopted to quantify the impact of anxiety and depression on the frequencies of GP visits, with adjustment for participant’s demographic and lifestyle characteristics. Results: Obesity and cardiovascular disease (CVD) were associated with the highest number of comorbid conditions. Two non-random multimorbidity “clusters” emerged: (CVD, Obesity, Diabetes) and (CVD, Obesity, Osteoarthritis). Participants with conditions comorbid with CVD were more likely to have 10 or more annual GP visits, compared to multimorbidity involving other conditions. Comparing to participants without CVD, the presence of CVD increased the chance of having 10 or more annual GP visits (adjusted risk ratio: 3.7 95% CI: 2.8-4.8). When CVD was comorbid with anxiety and depression having 10 or more annual GP visits was more common (adjusted risk ratio: 1.8 95% CI: 1.2-2.5). Conclusions: In Australian, community-dwelling men, multimorbidity is associated with a high use of GP services especially for multimorbidity that includes CVD with comorbid anxiety and depression. Multimorbidity patterns involving CVD should be considered in developing clinical trials to better inform medical decision making and care for patients with CVD and comorbid conditions.
Publisher: Springer Science and Business Media LLC
Date: 08-09-2014
Publisher: Wiley
Date: 25-11-2018
DOI: 10.1002/SIM.8041
Abstract: We present a multilevel frailty model for handling serial dependence and simultaneous heterogeneity in survival data with a multilevel structure attributed to clustering of subjects and the presence of multiple failure outcomes. One commonly observes such data, for ex le, in multi-institutional, randomized placebo-controlled trials in which patients suffer repeated episodes (eg, recurrent migraines) of the disease outcome being measured. The model extends the proportional hazards model by incorporating a random covariate and unobservable random institution effect to respectively account for treatment-by-institution interaction and institutional variation in the baseline risk. Moreover, a random effect term with correlation structure driven by a first-order autoregressive process is attached to the model to facilitate estimation of between patient heterogeneity and serial dependence. By means of the generalized linear mixed model methodology, the random effects distribution is assumed normal and the residual maximum likelihood and the maximum likelihood methods are extended for estimation of model parameters. Simulation studies are carried out to evaluate the performance of the residual maximum likelihood and the maximum likelihood estimators and to assess the impact of misspecifying random effects distribution on the proposed inference. We demonstrate the practical feasibility of the modeling methodology by analyzing real data from a double-blind randomized multi-institutional clinical trial, designed to examine the effect of rhDNase on the occurrence of respiratory exacerbations among patients with cystic fibrosis.
Publisher: Wiley
Date: 10-03-2003
DOI: 10.1002/SIM.1371
Abstract: We consider a mixture model approach to the regression analysis of competing-risks data. Attention is focused on inference concerning the effects of factors on both the probability of occurrence and the hazard rate conditional on each of the failure types. These two quantities are specified in the mixture model using the logistic model and the proportional hazards model, respectively. We propose a semi-parametric mixture method to estimate the logistic and regression coefficients jointly, whereby the component-baseline hazard functions are completely unspecified. Estimation is based on maximum likelihood on the basis of the full likelihood, implemented via an expectation-conditional maximization (ECM) algorithm. Simulation studies are performed to compare the performance of the proposed semi-parametric method with a fully parametric mixture approach. The results show that when the component-baseline hazard is monotonic increasing, the semi-parametric and fully parametric mixture approaches are comparable for mildly and moderately censored s les. When the component-baseline hazard is not monotonic increasing, the semi-parametric method consistently provides less biased estimates than a fully parametric approach and is comparable in efficiency in the estimation of the parameters for all levels of censoring. The methods are illustrated using a real data set of prostate cancer patients treated with different dosages of the drug diethylstilbestrol.
Publisher: Springer Science and Business Media LLC
Date: 10-2010
Publisher: Wiley
Date: 06-2002
Publisher: Wiley
Date: 31-05-2015
DOI: 10.1002/SIM.6542
Abstract: Multimorbidity is present in more than one quarter of the population in Australia, and its prevalence increases with age. Greater multimorbidity burden among in iduals is always associated with poor health-related outcomes, including quality of life, health service utilization and mortality, among others. It is thus significant to identify the heterogeneity in multimorbidity patterns in the community and determine the impact of multimorbidity on in idual health outcomes. In this paper, I propose a two-way clustering framework to identify clusters of most significant non-random comorbid health conditions and disparities in multimorbidity patterns among in iduals. This framework can establish a clustering-based approach to determine the association between multimorbidity patterns and health-related outcomes and to calculate a multimorbidity score for each in idual. The proposed method is illustrated using simulated data and a national survey data set of mental health and wellbeing in Australia.
Publisher: Elsevier BV
Date: 07-2011
Publisher: Springer New York
Date: 2013
DOI: 10.1007/978-1-60327-337-4_7
Abstract: There are two distinct but related clustering problems with microarray data. One problem concerns the clustering of the tissue s les (gene signatures) on the basis of the genes the other concerns the clustering of the genes on the basis of the tissues (gene profiles). The clusters of tissues so obtained in the first problem can play a useful role in the discovery and understanding of new subclasses of diseases. The clusters of genes obtained in the second problem can be used to search for genetic pathways or groups of genes that might be regulated together. Also, in the first problem, we may wish first to summarize the information in the very large number of genes by clustering them into groups (of hyperspherical shape), which can be represented by some metagenes, such as the group s le means. We can then carry out the clustering of the tissues in terms of these metagenes. We focus here on mixtures of normals to provide a model-based clustering of tissue s les (gene signatures) and of gene profiles.
Publisher: Elsevier BV
Date: 2017
DOI: 10.1016/J.IJID.2016.10.001
Abstract: This study assessed the impact of annual versus biennial praziquantel treatment regimens on the prevalence, intensity of infection, and liver fibrosis dynamics of Asiatic schistosomiasis (caused by Schistosoma japonicum) among in iduals residing in 18 endemic barangays in Northern Samar, Philippines. Five hundred and sixty-five subjects who reported symptoms of gastrointestinal illness and/or were believed to have clinical morbidity based on physical examination were selected for cohort follow-up. The mean prevalence of schistosomiasis was 34% and the mean intensity of infection was 123.1 eggs per gram. Moderate to severe hepatic fibrosis (grade II/III) was demonstrated in approximately 25% of the study population. As expected, a greater reduction in both the prevalence and intensity of infection was documented with two treatment rounds versus one. Overall, hepatic fibrosis (grades I-III) regressed in only 24.3% of those who received a single treatment and in only 19.3% of those who received two doses. The prevalence of grade II-III fibrosis at baseline (25.2%) remained unchanged 2 years after treatment. These findings suggest that in order to reverse moderate to severe liver fibrosis due to schistosomiasis and improve clinical outcomes, a higher clinical dosage of praziquantel (i.e., 60-80mg/kg) may be required over an extended duration.
Publisher: Public Library of Science (PLoS)
Date: 24-10-2018
Publisher: Wiley
Date: 20-11-2019
DOI: 10.1002/PON.5255
Publisher: Kluwer Academic Publishers
Date: 2005
Publisher: Elsevier BV
Date: 11-2016
Publisher: Impact Journals, LLC
Date: 13-02-2017
Publisher: Springer Science and Business Media LLC
Date: 14-03-2013
Abstract: This longitudinal study describes the five year trajectories of health-related quality of life (HR-QOL) and life satisfaction in long term colorectal cancer survivors. A population-based s le of 1966 colorectal cancer survivors were surveyed at six time points from five months to five years post-diagnosis. Predictor variables were: socio-demographic variables, optimism cancer threat appraisal perceived social support. Quality of life was assessed with the Functional Assessment of Cancer Therapy-Colorectal (HR-QOL) and the Satisfaction with Life Scale. Growth mixture models were applied to identify trajectory classes and their predictors. Distinct adjustment trajectories were identified for HR-QOL and life satisfaction. Lower optimism, poorer social support, a more negative cognitive appraisal, and younger age were associated with poorer life satisfaction, while survivors with less than 8 years of education had higher life satisfaction. This pattern was similar for overall HR-QOL except that educational level was not a significant predictor and later stage disease and female gender emerged as related to poorer outcomes. One in five survivors reported poorer constant HR-QOL (19.2%) and a small group had poor life satisfaction (7.2%) 26.2% reported constant high HR-QOL and 48.8% had high constant life satisfaction. Socioeconomic disadvantage and remoteness of residence uniquely predicted poorer outcomes in the colorectal cancer specific HR-QOL sub domain. Although HR-QOL and subjective cognitive QOL share similar antecedents their trajectory patterns suggested they are distinct adjustment outcomes with life satisfaction emerging as temporally stable phenomenon. Unique patterns of risk support suggest the need to account for heterogeneity in adjustment in longitudinal QOL studies with cancer survivors.
Publisher: Wiley
Date: 14-05-2020
DOI: 10.1111/ANS.15968
Publisher: Elsevier BV
Date: 02-2014
DOI: 10.1016/J.YGYNO.2013.12.007
Abstract: The origins and clinical significance of endosalpingiosis (ES), ectopic tubal epithelium, are not well understood. These investigations aim to characterize ES as it relates to normal fallopian tube, ovarian surface and serous neoplasms. A retrospective review of pathology reports from all prophylactic gynecologic surgeries from 2000 to 2010 was performed to assess the frequency of ES. Twenty-one archival specimens of ES, 6 normal fallopian tubes, 9 normal ovaries, 21 serous neoplasms and a commercially available ovarian tissue microarray were subjected to immunohistochemistry (IHC) with 11 tubal and Müllerian antigens. IHC staining was evaluated with a quantitative scoring system and scores were analyzed using MINITAB statistical software. ES was noted in 3.5% of pathologic specimens from 464 prophylactic surgeries. The majority of antigens showed no significant differences (p > 0.05) in median IHC scores between ES and normal fallopian tube epithelium (nFTE), while they were significantly different (p < 0.05) from the ovarian surface epithelium (OSE). Median IHC scores were unchanged in ES tissues regardless of the location of ES or the presence of a concurrent serous neoplasm. Three antigens emerged as contemporary tubal and ES biomarkers: phospho-Smad2, BCL2 and FOXJ1. All 3 biomarkers were expressed in ES, nFTE and serous neoplasms, but not in OSE or other tumor types. This study provides immunophenotypic evidence that ES is more similar to the nFTE than OSE. Further, ES biomarker expression closely resembles serous neoplasms strengthening the growing body of evidence that all Müllerian serous carcinomas arise from tubal-like epithelium.
Publisher: Springer Science and Business Media LLC
Date: 11-07-2012
DOI: 10.1007/S11136-012-0231-6
Abstract: The EuroQoL (EQ-5D) is ideal to compare quality of life across conditions. However, the Parkinson's Disease Questionnaire (PDQ-39) is often the only quality-of-life instrument used in Parkinson's disease research. We aimed to identify associations between PDQ-39 domains and EQ-5D domains, and compare different methods of developing a function to map the PDQ-39 to EQ-5D scores. Adults with Parkinson's disease self-completed both instruments. Ordinal regression identified associations between PDQ-39 domain scores and each EQ-5D domain. Modeling (n = 80) and validation sets (n = 16) were randomly generated. Overall performance of four methods of mapping the PDQ-39 to EQ-5D scores (using PDQ-39 domains and total score in ordinal and linear regression) was assessed with the validation set, followed by assessing the equivalence of observed and predicted EQ-5D scores on the full dataset controlling for sociodemographic factors. Different sets of PDQ-39 domains were associated with each EQ-5D domain. For ex le, PDQ-39 "Activities of Daily Living" and "Social Support" were associated with EQ-5D "Personal Care," while PDQ-39 "Emotional Well-being" was associated with EQ-5D "Anxiety/Depression." Over one-third (37.5 %) of predictions from ordinal regressions had an error <0.01 % (compared to 6.3 % for linear regressions). The EQ-5D scores predicted with ordinal regression using PDQ-39 domains were similar in distribution and association with sociodemographic factors to the observed EQ-5D scores. Of the four methods tested, using PDQ-39 domains in ordinal regression was superior for mapping EQ-5D scores. The function reported here may prove particularly useful for cost-utility analyses comparing Parkinson's disease with other conditions.
Publisher: Wiley
Date: 05-01-2022
DOI: 10.1002/NVSM.1707
Abstract: Special charity events are an important source of revenue for non‐profit organisations in cancer control yet volunteering is declining and turnover is high. Experiences at cause‐related events may influence retention, particularly emotions connected to the cause and ceremonies which honour cancer survivors and remember loved ones. We explore the degree to which emotions associated with cause‐related volunteering and collective action in the literature are felt in response to Relay For Life and what emotions predict three indicators of retention: intention to return for future events, satisfaction with volunteering, and organisational commitment. Volunteers ( n = 410) completed a cross‐sectional survey at Relay For Life events in Queensland, Australia. Multiple regression analyses examined whether emotions associated with events predicted each indicator of retention, adjusting for number of years spent volunteering for events. Sixty‐two percent reported an intention to return the following year. The most commonly reported event‐related emotions were hope, pride, and empathy (62–69%). Intention to return, satisfaction, and commitment were each significantly predicted by hope and pride. The findings suggest special charity events in cancer control could retain volunteers by fostering pride and hope (e.g., for a cancer free future) however, future prospective research which examines the mechanisms of these relationships is warranted.
Publisher: Springer Science and Business Media LLC
Date: 2001
Abstract: With obstetrical delivery being the most frequent cause for hospital admissions, it is important to determine health- and patient-related characteristics affecting maternity length of stay (LOS). Although the average inpatient LOS has decreased steadily over the years, the issue of the appropriate LOS after delivery is complex and hotly debated, especially since the introduction of the mandatory minimum-stay legislation in the USA. The purpose of this paper is to identity factors associated with maternity LOS and to model variations in LOS. A Gamma mixture risk-adjusted model is proposed in order to analyze heterogeneity of maternity LOS within obstetrical Diagnosis Related Groups (DRGs). The determination of pertinent factors would benefit hospital administrators and clinicians to manage LOS and expenditures efficiently.
Publisher: Impact Journals, LLC
Date: 08-02-2016
Publisher: Wiley
Date: 19-06-2012
DOI: 10.1002/SIM.5426
Abstract: Identification of comorbidity patterns of health conditions is critical for evidence-based practice to improve the prevention, treatment and health care of relevant diseases. Existing approaches focus mainly on either using descriptive measures of comorbidity in terms of the prevalence of coexisting conditions, or addressing the prevalence of comorbidity based on a particular disease (e.g. psychosis) or a specific population (e.g. hospital patients). As coincidental comorbidity by chance increases with the prevalence rates of the conditions, which in turn depend heavily on the population under study, research findings on comorbidity patterns using those approaches may provide unreliable results. In this paper, we propose an asymmetric version of Somers' D statistic to provide a quantitative measure of comorbidity that accounts for co-occurrence of conditions by chance, and develop a unified clustering algorithm to identify comorbidity patterns with adjustment for multiple testing and control for the false discovery rate. We assess the applicability of the proposed comorbidity measure and investigate the performance of the proposed procedure for the adjustment of multiple testing by conducting a comparative study and a sensitivity analysis, respectively. The proposed method is illustrated using a national survey data set of mental health and wellbeing and a national health survey data set in Australia.
Publisher: SPIE
Date: 28-12-2005
DOI: 10.1117/12.638449
Publisher: Springer Science and Business Media LLC
Date: 27-09-2019
Publisher: Wiley
Date: 04-05-2023
DOI: 10.1002/MSC.1770
Abstract: Musculoskeletal shoulder pain is a common problem and its symptoms often become persistent. The experience of pain is multidimensional, and therefore, a range of patient characteristics may influence treatment response. An altered sensory processing has been associated with persistent musculoskeletal pain states and may contribute to outcomes in patients with musculoskeletal shoulder pain. The presence and potential impact of altered sensory processing in this patient cohort is not currently known. The aim of this prospective longitudinal cohort study is to investigate if baseline sensory characteristics are associated with clinical outcomes in patients presenting to a tertiary hospital with persistent musculoskeletal shoulder pain. If found, a relationship between sensory characteristics and outcome may lead to the creation of more effective treatment strategies and improvements in risk adjustment and prognosis. This is a single‐centre prospective cohort study with 6‐, 12‐ and 24‐month follow‐up. A total of 120 participants aged ≥18 years with persistent musculoskeletal shoulder pain (≥3 months) will be recruited from an Australian public tertiary hospital orthopaedic department. Baseline assessments, including quantitative sensory tests and a standardised physical examination, will be performed. In addition, information will be obtained from patient interviews, self‐report questionnaires and medical records. Follow‐up outcome measures will comprise information from the Shoulder Pain and Disability Index and a six‐point Global Rating of Change scale. Descriptive statistics will be used to report baseline characteristics and outcome measures over time. Change in outcome measures at the primary endpoint of six months from baseline will be calculated using paired t ‐tests. Associations between baseline characteristics and outcomes at a 6‐month follow‐up will be reported using multivariable linear and logistic regression models. Understanding the relationship between sensory profile and the variable response to treatment in people with persistent musculoskeletal shoulder pain may enhance our understanding of the mechanisms contributing to the presentation. In addition, through better understanding of the contributing factors, the results of this study may contribute to the development of an in idualised, patient‐centred approach to treatment for people with this highly prevalent and debilitating condition.
Publisher: Wiley
Date: 30-05-2019
DOI: 10.1111/AJO.12990
Abstract: While pelvic floor ultrasound is commonly utilised in high-resource locations, our understanding of pelvic floor characteristics in women suffering with obstetric fistula and unrepaired fourth degree obstetric tears in low-resource areas is limited. This study aimed to assess the pelvic floor ultrasound characteristics of Ugandan women suffering with obstetric fistula, unrepaired fourth degree obstetric tears and pelvic organ prolapse, and determine whether obstructed labour resulting in obstetric fistula causes more levator muscle defects compared to parous women without a history of obstructed labour. This was a prospective study in western Uganda assessing 82 women with obstetric fistula, unrepaired fourth degree obstetric tears and pelvic organ prolapse with a pelvic floor ultrasound scan. Demographic characteristics were significantly different, with women suffering pelvic organ prolapse being older and more parous. Hiatal area on Valsalva was significantly smaller in the obstetric fistula group (mean 21.45 cm Increased hiatal area on Valsalva was noted in the non-obstetric fistula group compared to women with obstetric fistula however, there were no differences in proportions of complete levator muscle defects.
Publisher: Elsevier BV
Date: 09-2007
DOI: 10.1016/J.ARTMED.2007.06.001
Abstract: For many applied problems in the context of medically relevant artificial intelligence, the data collected exhibit a hierarchical or clustered structure. Ignoring the interdependence between hierarchical data can result in misleading classification. In this paper, we extend the mechanism for mixture-of-experts (ME) networks for binary classification of hierarchical data. Another extension is to quantify cluster-specific information on data hierarchy by random effects via the generalized linear mixed-effects model (GLMM). The extension of ME networks is implemented by allowing for correlation in the hierarchical data in both the gating and expert networks via the GLMM. The proposed model is illustrated using a real thyroid disease data set. In our study, we consider 7652 thyroid diagnosis records from 1984 to early 1987 with complete information on 20 attribute values. We obtain 10 independent random splits of the data into a training set and a test set in the proportions 85% and 15%. The test sets are used to assess the generalization performance of the proposed model, based on the percentage of misclassifications. For comparison, the results obtained from the ME network with independence assumption are also included. With the thyroid disease data, the misclassification rate on test sets for the extended ME network is 8.9%, compared to 13.9% for the ME network. In addition, based on model selection methods described in Section 2, a network with two experts is selected. These two expert networks can be considered as modeling two groups of patients with high and low incidence rates. Significant variation among the predicted cluster-specific random effects is detected in the patient group with low incidence rate. It is shown that the extended ME network outperforms the ME network for binary classification of hierarchical data. With the thyroid disease data, useful information on the relative log odds of patients with diagnosed conditions at different periods can be evaluated. This information can be taken into consideration for the assessment of treatment planning of the disease. The proposed extended ME network thus facilitates a more general approach to incorporate data hierarchy mechanism in network modeling.
Publisher: Elsevier BV
Date: 04-2019
Publisher: SAGE Publications
Date: 02-2002
Abstract: Application of a gamma mixture model to obstetrical diagnosis-related groups (DRGs) revealed heterogeneity of maternity length of stay (LOS). The proportion of long-stay subgroups identified, which can account for 30% of admissions, varied between DRGs. The burden of long-stay patients borne was estimated to be much higher in private hospitals than public hospitals for normal delivery, but vice versa for Caesarean section. Such differences highlights the impact of DRG-based casemix funding on inpatient LOS and have significant implications for health insurance companies to integrate casemix funding across the public and private sectors. The analysis also benefits hospital administrators and managers to budget expenditures accordingly.
Publisher: Springer Science and Business Media LLC
Date: 07-11-2017
DOI: 10.1007/S00192-016-3177-3
Abstract: High levels of mental health dysfunction have been identified in women with genital tract fistula. The aim of this study was to use the General Health Questionnaire-28 (GHQ-28) to screen women in western Uganda with severe pelvic organ prolapse, chronic fourth-degree obstetric tear and genital tract fistula for risk of mental health dysfunction. Women undergoing surgery for severe pelvic organ prolapse, chronic fourth-degree obstetric tear, and genital tract fistula were interviewed using the GHQ-28 to screen for the risk of mental health dysfunction. A total of 125 women completed the GHQ-28, including 22 with pelvic organ prolapse, 47 with fourth-degree obstetric tear, 21 with genital tract fistula, and 35 controls. Nearly all women with these serious gynaecological conditions were positive for the risk of mental health dysfunction. In the domain assessing symptoms of severe depression, women with fourth-degree obstetric tear and genital tract fistula scored higher than women with pelvic organ prolapse. A significant risk of mental health dysfunction was identified in women with severe pelvic organ prolapse and chronic fourth-degree obstetric tear. These rates are similar to the high rates of mental health dysfunction in women with genital tract fistula. Identification and management of mental health dysfunction in women with these conditions should be a priority.
Publisher: Springer Science and Business Media LLC
Date: 14-03-2016
DOI: 10.1007/S10995-016-1946-8
Abstract: Objective This research aims to identify predictors of attrition in a longitudinal birth cohort study in Australia and assess differences in baseline characteristics and responses in subsequent follow-up phases between contactable non-responders and uncontactable non-responders deemed "lost to follow-up (LTF)". Methods 3368 women recruited from three public hospitals in Southeast Queensland and Northern New South Wales during antenatal visits in 2006-2011 completed a baseline questionnaire to elicit information on multiple domains of exposures. A follow-up questionnaire was posted to each participant at 1 year after birth to obtain mother's and child's health and development information. Multivariate logistic regression was used to model the association between exposures and respondents' status at 1 year. The effect of an inverse-probability-weighting method to adjust for non-response was studied. Results Overall attrition at 1-year was 35.4 % major types of attrition were "contactable non-response" (27.6 %) and "LTF" (6.7 %). These two attrition types showed different responses at the 3-year follow-up and involved different predictors. Besides shared predictors (first language not English, higher risk of psychological distress, had smoked during pregnancy, higher levels of family conflict), distinguishable predictors of contactable non-responders were younger age, having moved home in the past year and having children under 16 in the household. Attrition rates increased substantially from 20 % in 2006 to 54 % in 2011. Conclusions This observed trend of increased attrition rates raises concern about the use of traditional techniques, such as "paper-based" questionnaires, in longitudinal cohort studies. The supplementary use of electronic communications, such as online survey tools and smart-device applications, could provide a better alternative.
Publisher: Elsevier BV
Date: 06-2013
DOI: 10.1593/NEO.121674
Publisher: Springer Science and Business Media LLC
Date: 03-11-2019
DOI: 10.1186/S12891-019-2905-5
Abstract: Lateral epicondylalgia (tennis elbow) is a common, debilitating and often treatment-resistant condition. Two treatments thought to address the pathology of lateral epicondylalgia are hypertonic glucose plus lignocaine injections (prolotherapy) and a physiotherapist guided manual therapy/exercise program (physiotherapy). This trial aimed to compare the short- and long-term clinical effectiveness, cost effectiveness, and safety of prolotherapy used singly and in combination with physiotherapy. Using a single-blinded randomised clinical trial design, 120 participants with lateral epicondylalgia of at least 6 weeks’ duration were randomly assigned to prolotherapy (4 sessions, monthly intervals), physiotherapy (weekly for 4 sessions) or combined (prolotherapy+physiotherapy). The Patient-Rated Tennis Elbow Evaluation (PRTEE) and participant global impression of change scores were assessed by blinded evaluators at baseline, 6, 12, 26 and 52 weeks. Success rate was defined as the percentage of participants indicating elbow condition was either ‘much improved’ or ‘completely recovered.’ Analysis was by intention-to-treat. Eighty-eight percent completed the 12-month assessment. At 52 weeks, there were substantial, significant improvements compared with baseline status for all outcomes and groups, but no significant differences between groups. The physiotherapy group exhibited greater reductions in PRTEE at 12 weeks than the prolotherapy group ( p = 0.014). There were no significant differences amongst the Physiotherapy, Prolotherapy and Combined groups in PRTEE and global impression of change measures over the course of the 12-month trial. ACTRN12612000993897 .
Publisher: Informa UK Limited
Date: 03-05-2020
Publisher: Informa UK Limited
Date: 18-04-2021
Publisher: Informa UK Limited
Date: 26-06-2018
DOI: 10.1080/17425255.2018.1484449
Abstract: It is unclear whether recommended doses of intramuscular polyvalent immune globulin are optimal for both effectiveness and efficiency of disease prevention when administered post-exposure to measles and rubella. The peak concentration and decay of disease-specific antibodies after intramuscular dosing of polyvalent immune globulin in adults were modeled using published pharmacokinetic parameters and product disease-specific antibody concentrations. Models simulated dosing according to current Australian guidelines, then adjusted the dose in clinically relevant increments to estimate the optimal dose of disease-specific immunoglobulins for post-exposure prophylaxis of nonimmune in iduals against measles and rubella. Optimal dosing assumed a target serum concentration of disease-specific antibodies of the correlate of protection plus a 10% margin of error at an incubation period. Current Australian guidelines appeared to underdose a measles-naïve subpopulation. The optimal dose of measles-specific antibodies was 17.5 IU/kg assuming 75% bioavailability and 25.5 IU/kg assuming 50% bioavailability. Current Australian guidelines recommend 520 IU/kg rubella antibodies for an 80-kg in idual. This model suggests that 13 IU/kg is more than sufficient. The recommended dose of intramuscular polyvalent immune globulin should be increased following measles exposure and decreased following rubella exposure for recommended subgroups. These models may be adapted for use internationally.
Publisher: Elsevier BV
Date: 2018
DOI: 10.1016/J.IJID.2017.10.023
Abstract: Schistosomiasis control is centred on preventive chemotherapy through mass drug administration (MDA). However, endemic countries continue to struggle to attain target coverage rates and patient compliance. In the Philippines, barangay health workers (BHWs) play a vital role in the coordination of MDA, acting as advocates, implementers, and educators. The aim of this study was to determine whether BHW knowledge and attitudes towards schistosomiasis and MDA is sufficient and correlated with resident knowledge and drug compliance. A cross-sectional survey was conducted in 2015 among 2186 residents and 224 BHWs in the province of Northern Samar, the Philippines using a structured survey questionnaire. BHWs showed good familiarity on how schistosomiasis is acquired and diagnosed. Nevertheless, both BHWs and residents had poor awareness of the signs and symptoms of schistosomiasis, disease prevention, and treatment options. There was no correlation between the knowledge scores of the BHWs and the residents (r=0.080, p=0.722). Kruskal-Wallis analysis revealed significant differences in BHW knowledge scores between the low (3.29, 95% confidence interval 3.16-3.36), moderate (3.61, 95% confidence interval 3.49-3.69), and high (4.05, 95% confidence interval 3.77-4.13) compliance village groups (p=0.002), with the high compliance areas having the highest mean knowledge scores. This study highlights the importance of community health workers in obtaining the World Health Organization drug coverage rate of 75% and improving compliance with MDA in the community. Investing in the education of community health workers with appropriate disease-specific training is crucial if disease elimination is ultimately to be achieved.
Publisher: Elsevier BV
Date: 03-2014
Publisher: Wiley
Date: 11-01-2017
DOI: 10.1002/PON.4342
Publisher: Elsevier BV
Date: 2017
DOI: 10.1016/J.IJID.2016.10.024
Abstract: Subclinical morbidity due to schistosomiasis was evaluated in 565 patients, and the enhanced liver fibrosis (ELF) test was assessed for the first time as a potential screening tool for disease. The prevalence and intensity of infection were determined by Kato-Katz thick smear stool examination at baseline and 2 years after curative treatment. The degree of hepatic fibrosis was assessed by ultrasound. Non-invasive serum biomarkers of hepatic fibrosis were also evaluated. The baseline human prevalence and infection intensity were found to be moderately high at 34% and 123 eggs per gram, respectively. However, hepatic parenchymal fibrosis occurred in 50% of subjects, with grade II fibrosis in 19% and grade III in 6%. The ELF score and higher serum levels of tissue inhibitor of metalloproteinase 1 (TIMP-1) and hyaluronic acid (HA) correlated with the grade of liver fibrosis. The findings of this study demonstrated that praziquantel treatment had a short-term impact on both the prevalence and intensity of infection, but less of an impact on established morbidity. Higher TIMP-1 and HA serum levels, and an ELF cut-off score of 8 were found to be correlated with the grade of liver fibrosis these values may, therefore, assist physicians in identifying in iduals at greater risk of disease.
Publisher: Elsevier BV
Date: 09-2015
Publisher: Oxford University Press (OUP)
Date: 16-07-2018
DOI: 10.1093/IJE/DYY134
Abstract: The latest review of studies on multimorbidity patterns showed high heterogeneity in the methodology for identifying groups of multimorbid conditions. However, it is unclear how analytical methods used influence the identified multimorbidity patterns. We undertook a systematic review of analytical methods used to identify multimorbidity patterns in PubMed and EMBASE from their inception to January 2017. We conducted a comparison analysis to assess the effect the analytical methods had on the multimorbidity patterns identified, using the Australian National Health Survey (NHS) 2007-08 data. We identified 13 194 studies and excluded 13 091 based on titles/abstracts. From the full-text reviews of the 103 remaining publications, we identified 41 studies that used five different analytical methods to identify multimorbid conditions in the studies. Thirty-seven studies (90%) adopted either the factor-analysis or hierarchical-clustering methods, but heterogeneity arises for the use of different proximity measures within each method to form clusters. Our comparison analysis showed the variation in identified groups of multimorbid conditions when applying the methods to the same NHS data. We extracted main similarities among the groupings obtained by the five methods: (i) cardiovascular and metabolic diseases, (ii) mental health problems and (iii) allergic diseases. We showed the extent of effects for heterogeneous analytical methods on identification of multimorbidity patterns. However, more work is needed to guide investigators for choosing the best analytical method to improve the validity and generalizability of findings. Investigators should also attempt to compare results obtained by various methods for a consensus grouping of multimorbid conditions.
Publisher: Springer Science and Business Media LLC
Date: 17-06-2017
Publisher: IEEE
Date: 2009
Publisher: Wiley
Date: 06-2017
DOI: 10.1111/JOG.13325
Abstract: This study aimed to determine how endometriosis affects the quality of life of partners of women who suffer from this disease and how it impacts their relationships, finances, mental states, and daily living. This was a questionnaire-based cohort study that took place at a large tertiary hospital gynecology unit, which covered two sites. Fifty-one partners of women who had surgically diagnosed endometriosis agreed to participate in the study and returned completed surveys. Ninety-two percent (n = 46) of partners reported negative feelings about the diagnosis of endometriosis. Seventy percent (n = 35) reported that endometriosis affected their day-to-day life either moderately or severely. Over half (52%) also felt that their finances were affected. Only 34% (n = 17) of partners felt that health professionals had engaged them in decision-making processes and had been supportive of them. Eighty percent (n = 40) of partners reported that they had received no information about the impact of endometriosis on couples. Partners reported a significant affect on their sex life (74%) and their relationship as a whole (56%). Participants whose relationships had been affected by endometriosis had also more likely had their day-to-day life (P = 0.027), sex life (P = 0.001), and finances (P = 0.002) affected. Overall, our findings suggest that endometriosis can have a significant impact on partners with respect to day-to-day living, finances, sex lives, and relationships. Improvements can be made to engage partners in the treatment process, and to provide better education, support, and holistic management to women and families who suffer with endometriosis.
Publisher: Springer Science and Business Media LLC
Date: 14-11-2012
Abstract: Time-course gene expression data such as yeast cell cycle data may be periodically expressed. To cluster such data, currently used Fourier series approximations of periodic gene expressions have been found not to be sufficiently adequate to model the complexity of the time-course data, partly due to their ignoring the dependence between the expression measurements over time and the correlation among gene expression profiles. We further investigate the advantages and limitations of available models in the literature and propose a new mixture model with autoregressive random effects of the first order for the clustering of time-course gene-expression profiles. Some simulations and real ex les are given to demonstrate the usefulness of the proposed models. We illustrate the applicability of our new model using synthetic and real time-course datasets. We show that our model outperforms existing models to provide more reliable and robust clustering of time-course data. Our model provides superior results when genetic profiles are correlated. It also gives comparable results when the correlation between the gene profiles is weak. In the applications to real time-course data, relevant clusters of coregulated genes are obtained, which are supported by gene-function annotation databases. Our new model under our extension of the EMMIX-WIRE procedure is more reliable and robust for clustering time-course data because it adopts a random effects model that allows for the correlation among observations at different time points. It postulates gene-specific random effects with an autocorrelation variance structure that models coregulation within the clusters. The developed R package is flexible in its specification of the random effects through user-input parameters that enables improved modelling and consequent clustering of time-course data.
Publisher: IEEE
Date: 12-2016
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Open Medical Publishing
Date: 24-09-2019
DOI: 10.4081/OR.2019.7809
Abstract: Distal radius fractures are among the most common fractures encountered in the clinical setting. Of these common fractures, it has been said that up to 60% are intraarticular in nature. Intra-articular or unstable and comminuted fractures represent severe and high energy injuries. Despite a large amount of literature, it is surgeon preference which determines the fixation method employed. There are only a few randomised control trials that report 2-year outcomes. There has yet to be a meta-analysis comparing the long-term outcomes of open reduction internal fixation (ORIF) and external fixation (EF). The aim of this metaanalysis is to identify any difference in the outcomes of either fixation method in the long term. We pooled the data of all the available randomised control trials that followed the patients for a minimum of 2 years and compared outcomes of ORIF against EF of distal radius fractures as per PRISMA guidelines from inception of the databases to December 2016. We then performed our meta-analysis using RevMan 5.3 software. Flexion/extension arcs were significantly improved in ORIF, and 7 of the 10 analysed outcomes supported ORIF, although most not to a significant degree. The meta-analysis indicated that there is no difference in outcomes with either form of treatment. Even though the flexion extension arc was statistically better in the ORIF group, the difference is not clinically meaningful.
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11589990_101
Publisher: Springer Berlin Heidelberg
Date: 2003
Publisher: Elsevier BV
Date: 12-2014
Abstract: To compare sun protection by Australian-born and migrant mothers of three-year-old children. Australian-born and migrant mothers taking part in the Environments for Healthy Living prospective birth-cohort study were asked standard questions about their child's sun protection. Children were given a skin cancer susceptibility score based on grandparents' ethnic origin. Logistic regression was used to estimate odds ratios (ORs) to measure the association of sun protection of children according to mothers' migrant status adjusted for socio-demographic characteristics. A total of 613 Australian-born and 224 migrant mothers of three-year-old children were studied. Mothers who had migrated less than four years ago were more likely to allow their three-year-old to spend more than two hours outdoors between 10 am and 3 pm compared to Australian-born mothers (OR=2.80, 95%CI 1.20-6.57). Mothers from high latitude countries (>45 degrees) were more likely to apply sunscreen to their child than those from lower latitude countries (OR=3.15, 95%CI 1.03-9.61). Strategies should aim to increase general awareness about the need for sun protection of young children, and recent migrants should be alerted to the harms of excessive sun exposure.
Publisher: Frontiers Media SA
Date: 11-09-2018
Publisher: Wiley
Date: 14-12-2020
DOI: 10.1111/NEP.13840
Publisher: Springer Science and Business Media LLC
Date: 02-06-2011
Publisher: SAGE Publications
Date: 11-07-2019
Abstract: Many medical studies yield data on recurrent clinical events from populations which consist of a proportion of cured patients in the presence of those who experience the event at several times (uncured). A frailty mixture cure model has recently been postulated for such data, with an assumption that the random subject effect (frailty) of each uncured patient is constant across successive gap times between recurrent events. We propose two new models in a more general setting, assuming a multivariate time-varying frailty with an AR(1) correlation structure for each uncured patient and addressing multilevel recurrent event data originated from multi-institutional (multi-centre) clinical trials, using extra random effect terms to adjust for institution effect and treatment-by-institution interaction. To solve the difficulties in parameter estimation due to these highly complex correlation structures, we develop an efficient estimation procedure via an EM-type algorithm based on residual maximum likelihood (REML) through the generalised linear mixed model (GLMM) methodology. Simulation studies are presented to assess the performances of the models. Data sets from a colorectal cancer study and rhDNase multi-institutional clinical trial were analyzed to exemplify the proposed models. The results demonstrate a large positive AR(1) correlation among frailties across successive gap times, indicating a constant frailty may not be realistic in some situations. Comparisons of findings with existing frailty models are discussed.
Publisher: Springer Science and Business Media LLC
Date: 10-08-2004
Publisher: Center for Academic Publications Japan
Date: 2017
DOI: 10.3177/JNSV.63.284
Abstract: Vitamin D deficiency/insufficiency is currently considered to be a re-emerging public health problem globally. This study was designed to determine the prevalence of vitamin D deficiency and insufficiency and to investigate its trend from 2001 to 2013 in a longitudinal study of Iranian adults. This study was part of a population-based, longitudinal ongoing study of Iranian healthy adults aged 35 y and older at baseline. Serum vitamin D level was assessed in a sub-s le of 370 subjects, who were apparently healthy at the time of recruitment in 2001 and were free from MetS, in three phases (2001, 2007 and 2013) during the 12-y study period. Adjusted prevalence and trend of vitamin D deficiency were calculated. Mean serum vitamin D levels increased over the time of the study (52.12, 54.27 and 62.28 nmol/L, respectively) and the prevalence of vitamin D deficiency decreased (30.5, 27.0 and 24.4, respectively). However, the prevalence of vitamin D insufficiency did not change over this time period. The risk of vitamin D deficiency decreased significantly in 2007 [OR: 0.73 (95% CI: 0.53, 0.99)] and 2013 [OR: 0.50 (95% CI: 0.36, 0.70)] compared to the baseline. The present study demonstrated some improvement in serum vitamin D levels, while the prevalence of vitamin D inadequacy was still high. Considering the possible health consequences of vitamin D deficiency, there is an urgent need for developing population-wide strategies, such as supplementation and fortification, to prevent or control vitamin D deficiency.
Publisher: SAGE Publications
Date: 09-2020
Abstract: This study sought to determine patterns of multimorbidity and quantify their impact on use of primary health services in the presence and absence of anxiety and depression among a cohort of urban community-dwelling men in Australia. The analytic s le consisted of men ( n = 2039 age 38–85) from the follow-up wave of a prospective cohort study of all participants of the Florey Adelaide Male Ageing Study (FAMAS Stage 2 [2007–2010]) and age-matched men from the North-West Adelaide Health Study (NWAHS Stage 3 [2008–2010]). Self-reported data and linkage with a national universal health coverage scheme (Medicare) provided information on the prevalence of eight chronic conditions and health service utilization information (including annual GP visits). Obesity and cardiovascular disease (CVD) were associated with the highest number of comorbid conditions. Two nonrandom multimorbidity “clusters” emerged: “CVD, Obesity, Diabetes” and “CVD, Obesity, Osteoarthritis.” Participants with conditions comorbid with CVD were more likely to have 10 or more annual GP visits, compared to multimorbidity involving other conditions. In comparison to participants without CVD, the presence of CVD increased the chance of having 10 or more annual GP visits (adjusted risk ratio: 3.7 95% CI [2.8, 4.8]). When CVD was comorbid with anxiety and depression, having 10 or more annual GP visits was more common (adjusted risk ratio: 1.8 95% CI [1.2, 2.5]). Multimorbidity patterns involving CVD, especially for multimorbidity that includes CVD with comorbid anxiety and depression, should be considered in developing clinical trials to better inform medical decision-making and care for patients with CVD and comorbid conditions.
Publisher: Elsevier
Date: 2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2004
Publisher: Elsevier BV
Date: 2010
Publisher: Wiley
Date: 30-04-2018
DOI: 10.1002/PON.4728
Abstract: This paper examines the direct and intermediary relationships between life stress, stress appraisal, and resilience, and increased anxiety and depressive symptoms in Australian women after cancer treatment. Data examined from 278 women aged 18 years and older previously treated for breast, gynaecological, or blood cancer, participating in the Australian Women's Wellness after Cancer Program. Serial mediation models interrogated the effect of stressful life events (List of Threatening Experiences-Modified) mediated by appraisal and coping (Perceived Stress Scale and Connor-Davidson Resilience Scale), on symptoms of anxiety and depression (Zung Self-rating Anxiety Scale and Center for Epidemiologic Studies Depression Scale). Over one-quarter (30.2%) of participants reported 1 or more stressful life events, other than their cancer, in the previous 6 months. Results indicate that perceived stress fully mediated the relationships between life stress, anxiety (indirect effect = 0.09, Bias-corrected bootstrap 95% CI 0.02-0.18, Percent mediation = 0.51), and depressive symptoms (indirect effect = 0.11, Bias-corrected bootstrap 95% CI 0.02-0.23, Percent mediation = 0.71) and accounted for more than half of the relationship between predictor and outcome. Findings indicate that stress appraisal mediated the relationship between past life stressors and anxiety and depressive symptoms. This analysis also highlights the need to consider wellness within a broader care context to identify potentially vulnerable patients to possibly avert future health concerns.
Publisher: Springer Science and Business Media LLC
Date: 31-07-2018
Publisher: MDPI AG
Date: 10-07-2021
Abstract: Background: Myocardial infarction (MI), remains one of the leading causes of death and disability globally but publications on the progression of MI using data from the real world are limited. Multistate models have been widely used to estimate transition rates between disease states to evaluate the cost-effectiveness of healthcare interventions. We apply a Bayesian multistate hidden Markov model to investigate the progression of MI using a longitudinal dataset from Queensland, Australia. Objective: To apply a new model to investigate the progression of myocardial infarction (MI) and to show the potential to use administrative data for economic evaluation and modeling disease progression. Methods: The cohort includes 135,399 patients admitted to public hospitals in Queensland, Australia, in 2010 treatment of cardiovascular diseases. Any subsequent hospitalizations of these patients were followed until 2015. This study focused on the sub-cohort of 8705 patients hospitalized for MI. We apply a Bayesian multistate hidden Markov model to estimate transition rates between health states of MI patients and adjust for delayed enrolment biases and misclassification errors. We also estimate the association between age, sex, and ethnicity with the progression of MI. Results: On average, the risk of developing Non-ST segment elevation myocardial infarction (NSTEMI) was 8.7%, and ST-segment elevation myocardial infarction (STEMI) was 4.3%. The risk varied with age, sex, and ethnicity. The progression rates to STEMI or NSTEMI were higher among males, Indigenous, or elderly patients. For ex le, the risk of STEMI among males was 4.35%, while the corresponding figure for females was 3.71%. After adjustment for misclassification, the probability of STEMI increased by 1.2%, while NSTEMI increased by 1.4%. Conclusions: This study shows that administrative health data were useful to estimate factors determining the risk of MI and the progression of this health condition. It also shows that misclassification may cause the incidence of MI to be under-estimated.
Publisher: Springer Science and Business Media LLC
Date: 10-02-2012
Abstract: Recent evidence from a large scale trial conducted in the United States indicates that enhancing shared decision-making and improving knowledge, self-management, and provider communication skills to at-risk patients can reduce health costs and utilisation of healthcare resources. Although this trial has provided a significant advancement in the evidence base for disease management programs it is still left for such results to be replicated and/or generalised for populations in other countries and other healthcare environments. This trial responds to the limited analyses on the effectiveness of providing chronic disease management services through telephone health coaching in Australia. The size of this trial and it's assessment of cost utility with respect to potentially preventable hospitalisations adds significantly to the body of knowledge to support policy and investment decisions in Australia as well as to the international debate regarding the effect of disease management programs on financial outcomes. Intention to treat study applying a prospective randomised design comparing usual care with extensive outreach to encourage use of telephone health coaching for those people identified from a risk scoring algorithm as having a higher likelihood of future health costs. The trial population has been limited to people with one or more of the following selected chronic conditions: namely, low back pain, diabetes, coronary artery disease, heart failure, and chronic obstructive pulmonary disease. This trial will enrol at least 64,835 sourced from the approximately 3 million Bupa Australia private health insured members located across Australia. The primary outcome will be the total (non-maternity) cost per member as reported to the private health insurer (i.e. charged to the insurer) 12 months following entry into the trial for each person. Study recruitment will be completed in early 2012 and the results will be available in late 2013. If positive, CAPICHe will represent a potentially cost-effective strategy to improve health outcomes in higher risk in iduals with a chronic condition, in a private health insurance setting. Australian New Zealand Clinical Trials Registry reference: ACTRN12611000580976
Publisher: Springer New York
Date: 29-11-2016
DOI: 10.1007/978-1-4939-6613-4_19
Abstract: Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with similar behavior across relevant tissue s les (or cell lines). These techniques can also be applied to tissues rather than genes. Methods such as hierarchical agglomerative clustering, k-means clustering, the self-organizing map, and model-based methods have been used. Here we focus on mixtures of normals to provide a model-based clustering of tissue s les (gene signatures) and of gene profiles, including time-course gene expression data.
Start Date: 2008
End Date: 12-2010
Amount: $220,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2003
End Date: 12-2006
Amount: $198,279.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2011
End Date: 12-2014
Amount: $340,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2007
End Date: 12-2011
Amount: $895,099.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2012
End Date: 12-2015
Amount: $360,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 09-2017
End Date: 09-2020
Amount: $335,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2015
End Date: 12-2018
Amount: $221,574.00
Funder: Australian Research Council
View Funded Activity